Lessons from deploying NLG technology for marine weather forecast text generation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

SUMTIME-MOUSAM is a Natural Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from Numerical Weather Prediction (NWT) data. It has been used for the past year by Weathernews (UK) Ltd for producing 150 draft forecasts per day, which are then post-edited by forecasters before being released to end-users. In this paper, we describe how the system works, how it is used at Weathernews and finally some lessons we learnt from building, installing and maintaining SUMTIME-MOUSAM. One important lesson has been that using NLG technology improves maintainability although the biggest maintenance work actually involved changing data formats at the I/O interfaces. We also found our system being used by forecasters in unexpected ways for understanding and editing data. We conclude that the success of a technology owes as much to its functional superiority as to its suitability to the various stakeholders such as developers and users.

Original languageEnglish
Title of host publicationECAI 2004
Subtitle of host publicationProceedings of the 16th Eureopean Conference on Artificial Intelligence
EditorsRamon López de Mántaras, Lorenza Saitta
Place of PublicationAmsterdam, Netherlands
PublisherIOS Press
Pages760-764
Number of pages5
Volume110
ISBN (Print)1586034529, 978-1586034528
Publication statusPublished - 1 Dec 2004
Event16th European Conference on Artificial Intelligence (ECAI 2004) including Prestigious Applicants of Intelligent Systems (PAIS 2004) - Valencia, Spain
Duration: 22 Aug 200427 Aug 2004

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume110
ISSN (Print)0922-6389

Conference

Conference16th European Conference on Artificial Intelligence (ECAI 2004) including Prestigious Applicants of Intelligent Systems (PAIS 2004)
CountrySpain
CityValencia
Period22/08/0427/08/04

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